Article (Scientific journals)
PredictProtein--an open resource for online prediction of protein structural and functional features
Yachdav, Guy; Kloppman; Kajan et al.
2014In Nucleic Acids Research, 42 (8)
Peer reviewed
 

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Abstract :
[en] PredictProtein is a meta-service for sequence analysis that has been predicting structural and functional features of proteins since 1992. Queried with a protein sequence it returns: multiple sequence alignments, predicted aspects of structure (secondary structure, solvent accessibility, transmembrane helices (TMSEG) and strands, coiled-coil regions, disulfide bonds and disordered regions) and function. The service incorporates analysis methods for the identification of functional regions (ConSurf), homology-based inference of Gene Ontology terms (metastudent), comprehensive subcellular localization prediction (LocTree3), protein–protein binding sites (ISIS2), protein–polynucleotide binding sites (SomeNA) and predictions of the effect of point mutations (non-synonymous SNPs) on protein function (SNAP2). Our goal has always been to develop a system optimized to meet the demands of experimentalists not highly experienced in bioinformatics. To this end, the PredictProtein results are presented as both text and a series of intuitive, interactive and visually appealing figures. The web server and sources are available at http://ppopen.rostlab.org.
Research center :
- Luxembourg Centre for Systems Biomedicine (LCSB): Bioinformatics Core (R. Schneider Group)
Disciplines :
Biochemistry, biophysics & molecular biology
Author, co-author :
Yachdav, Guy
Kloppman
Kajan
Hecht
Goldberg
Hamp
Honigschmid
Schafferhans
Roos, Manfred
Bernhofer
Richter
Ashkenazy
Punta
Schlessinger
Bromberg
Schneider, Reinhard ;  University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB)
Vriend
Sander
Ben-Tal
Rost
More authors (10 more) Less
External co-authors :
yes
Language :
English
Title :
PredictProtein--an open resource for online prediction of protein structural and functional features
Publication date :
05 May 2014
Journal title :
Nucleic Acids Research
Volume :
42
Issue :
8
Peer reviewed :
Peer reviewed
Available on ORBilu :
since 20 May 2014

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